Abstract
‘Treponema phagedenis’ is considered to be a key agent in the pathogenesis of bovine digital dermatitis, an infectious foot condition of economic and animal welfare importance. We hereby report the draft sequence of ‘T. phagedenis’ strain V1. The draft genome assembly consists of 51 scaffolds comprising 3,129,551 bp and a GC-content of 39.9 %. Putative pathogenicity related factors have been identified in the genome that can be used in future studies to gain insight into the pathogenic mechanisms of ‘T. phagedenis’.
Electronic supplementary material
The online version of this article (doi:10.1186/s40793-015-0059-0) contains supplementary material, which is available to authorized users.
Keywords: ‘T. phagedenis’, Genome assembly, Digital dermatitis, Västra Götaland, Sweden
Introduction
Digital dermatitis is a painful infection of the foot and is the leading cause of lameness in dairy cattle. Secondary effects of lameness are decreased milk production and weight loss leading to economic losses and animal welfare problems [1]. The disease is characterized by a diffuse or circumscribed superficial dermatitis of the skin at the coronary margin of the hoof. Erosive lesions are formed at the superficial layer of epidermis accompanied by pain, swelling and foul odor. Bacteria from different genera have been identified from these lesions, among them spirochetes of the genus Treponema are most prevalent [2–4]. Members of this genus constitute both commensal and pathogenic spirochetes. Treponema pallidum, which causes syphilis, is a well-known example of a pathogenic treponeme. A Treponema phylotype recently suggested being the same species as is the human commensal ‘Treponema phagedenis’ [5] which is considered to be a key agent in the pathogenesis of digital dermatitis [6–9]. ‘T. phagedenis’ is thought to be important for lesion development because it is found at the interface with healthy tissue [10] and has been detected in infected cattle from Europe [11], North America [12], and Asia [13]. To identify the putative pathogenicity related factors of ‘T. phagedenis', we performed sequencing of the ‘T. phagedenis’ strain V1 chromosome [14].
Organism information
Classification and features
'Treponema phagedenis' strain V1 (Fig. 1) was isolated from a Swedish dairy cow [14]. Strains 4A and YG3903R were isolated from digital dermatitis lesion in cattle from USA and Japan respectively [12, 13]. According to 16S rRNA sequence comparison using NCBI blast [15] ‘T. phagedenis’ V1 (DQ470655) shares 100 % identity with ‘T. phagedenis’ strains 4A (AF546875) and YG3903R (FJ004921) and 98 %-99 % identity with human strains CIP 62.29 (EF645248) and K5 (M57739). Among other treponemes, ‘T. phagedenis’ V1 is most closely related to Treponema putidum (AJ543428) and Treponema denticola (AF139203) sharing 93 % 16S rRNA identity with them. Figure 2 shows the phylogenetic relationship of ‘T. phagedenis’ V1 with the other Treponema species in a 16S rRNA based tree.
Fig. 1.

A scanning electron microscope picture of Treponema phagedenis V1 cells. Photo: Leif Ljung
Fig. 2.

16S rRNA phylogenetic tree; Phylogenetic tree of 16S rRNA sequences highlighting the position of ‘Treponema phagedenis’ strain V1 relative to other ‘Treponema phagedenis’ strains and to the other species within the genus. Brachyspira hyodysenteriae and Brachyspira innocens are used as out-group. The evolutionary history was inferred from 1212 aligned characters [42, 43]. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. Numbers above branches are support values from 1000 bootstrap replicates. 0.04 on the scale bar represents 4 substitutions in 100 bp. Evolutionary analyses were conducted using maximum Likelihood method in MEGA6 [44]
‘Treponema phagedenis’ is a helically, right-handed coiled bacterium with bent ends that are motile [16]. The typical size of ‘T. phagedenis’ ranges in length from 0.8 to 15 μm and 0.3 to 0.4 μm in width, with 7 to 9 flagella attached on each end [5, 12]. These bacteria are mostly host-associated, anaerobic and have fastidious growth requirements. ‘Treponema phagedenis’ strain V1 was isolated from a clinical sample from a digital dermatitis lesion. [14]. The sample was taken from an acute lesion in a herd with continuous problems with digital dermatitis. According to the API ZYM profile, ‘T. phagedenis’ strain V1 shows a positive reaction for alkaline phosphatase, C4 esterase, C8 esterase lipase, acid phosphatase, naptholphosphohydrolase, β-galactosidase, and N-acetyl-β-glucosaminidase. The antimicrobial susceptibility test performed on ‘T. phagedenis’ strain V1 shows that it is susceptible to tiamulin, valnemulin, tylosin, aivlosin and doxycycline [14]. Also, three immunogenic proteins, TmpA, Ttm, and PrrA, have been detected in ‘T. phagedenis’. The presence of antibodies against these proteins has been identified in high titer in sera from cattle with digital dermatitis through indirect enzyme-linked immunosorbent assay [17]. General features of T. phagedenis V1 are stated in Table 1.
Table 1.
Classification and general features of ‘Treponema phagdenis’ strain V1 [33]
| MIGS ID | Property | Term | Evidence codea |
|---|---|---|---|
| Classification | Domain Bacteria | TAS [34] | |
| Phylum Spirochaetes | TAS [35] | ||
| Class ‘Spirochaetia’ | TAS [36] | ||
| Order Spirochaetales | TAS [37–39] | ||
| Family Spirochaetaceae | TAS [40] | ||
| Genus Treponema | TAS [6, 14] | ||
| Species ‘Treponema phagdenis’ | TAS [5, 14] | ||
| Strain: V1 | |||
| Gram stain | negative | TAS [41] | |
| Cell shape | Helical | TAS [41] | |
| Motility | Motile | TAS [14, 17] | |
| Sporulation | Non-sporulating | NAS | |
| Temperature range | 30-42 °C | NAS [41] | |
| Optimum temperature | 37 °C | NAS [41] | |
| pH range; Optimum | 6–8.5; 7 | TAS [5] | |
| Carbon source | D-glucose | IDA | |
| MIGS-6 | Habitat | Digital dermatitis lesion in cattle | TAS [14] |
| MIGS-6.3 | Salinity | Not reported | |
| MIGS-22 | Oxygen requirement | Anaerobic | NAS |
| MIGS-15 | Biotic relationship | Host-associated | NAS |
| MIGS-14 | Pathogenicity | Potential pathogen in cattle | TAS [14] |
| MIGS-4 | Geographic location | Västra Götaland county, Sweden | TAS [14] |
| MIGS-5 | Sample collection | 2005 | TAS [14] |
| MIGS-4.1 | Latitude | Not reported | |
| MIGS-4.2 | Longitude | Not reported | |
| MIGS-4.4 | Altitude | Not reported |
IDA Inferred from Direct Assay, TAS Traceable Author Statement (i.e., a direct report exists in the literature), NAS Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [33]
aEvidence codes
Genome sequencing information
Genome project history
‘Treponema phagedenis’ strain V1 was selected for sequencing in 2009 at the Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden. The genome was assembled and annotated by the SLU-Global Bioinformatics Centre at SLU. The genome project is deposited in the Genomes OnLine Database [18] with GOLD id Gi0072982 and the draft genome assembly is deposited in the European Nucleotide Archive database with accession number (CDNC01000001-CDNC01000051) under the study accession number: PRJEB5300. The aim of the sequencing was to identify genes that are linked to pathogenicity and virulence in related bacteria, to strengthen the hypothesis that bacteria of the genus Treponema causes digital dermatitis in cattle. Almost nothing is known about virulence factors of treponemes involved in digital dermatitis. Table 2 contains the summary of the project information.
Table 2.
Project information
| MIGS ID | Property | Term |
|---|---|---|
| MIGS 31 | Finishing quality | Draft |
| MIGS-28 | Libraries used | 454 Single end reads, Illumina paired end reads |
| MIGS 29 | Sequencing platforms | 454, Illumina hiseq |
| MIGS 31.2 | Fold coverage | 25×, 100× |
| MIGS 30 | Assemblers | Newbler |
| MIGS 32 | Gene calling method | Prodigal |
| Locus Tag | TPHV1 | |
| GeneBank ID | CDNC00000000 | |
| GenBank Date of Release | 18-01-2015 | |
| GOLD ID | Gp0092386 | |
| BIOPROJECT | PRJEB5300 | |
| MIGS 13 | Source Material Identifier | Not reported |
| Project relevance | Potential pathogen |
Growth conditions and genomic DNA preparation
'Treponema phagedenis' V1 was grown in flasks containing 10 ml FABGS (LAB071 fastidious anaerobe broth, LabM, with 2.0 g D-glucose per liter and 25 % fetal calf serum, S 0115, Biochrom AG), and incubated in anaerobic jars at 37 °C, 90 rpm. Genomic DNA was prepared with the DNeasy Blood & Tissue Kit (QIAGEN) following the protocol for Gram-negative bacteria [17]. The DNA concentration measured by Picodrop Microliter UV/Vis Spectrophotometer was 566 ng μl−1.
Genome sequencing and assembly
The genomic sequence was obtained using a combination of Roche 454 GS FLX sequencing platform at the Royal Institute of Technlogy in Stockholm and Illumina HiSeq 2000 at the Uppsala sequencing platform. For Illumina sequencing three different libraries were used with the insert size of 160 bp, 305 bp and 505 bp. A total of 306,592 reads with the average read length of 300 bp were obtained from 454 sequencing and 60,174,091, 61,097,083, and 71,967,626 reads from the 160, 305 and 505 bp insert size libraries, respectively, from the Illumina sequencing. Subsets of reads from all three libraries were generated using a custom perl script to lower the coverage before performing assembly. Four different assemblies were produced, these include (i) hybrid assembly of 454 reads and Illumina reads from 160 bp insert size library (ii) hybrid assembly of 454 reads and Illumina reads from 305 bp insert size library (iii) hybrid assembly of 454 reads and Illumina reads from 505 bp insert size library (iv) 454 reads assembly. The resulting assemblies varied in size from 2.9 to 3.1 Mbp with the average GC content of 39 %. Assembly was performed with the GS de novo assembler version 2.5.3 (Roche) using reads from each Illumina paired end library and the 454 sequencing. Resulting assemblies were compared using the MAUVE genome alignment tool [19]. The hybrid assembly produced from 454 reads and Illumina reads from 305 bp insert size library was selected for further analysis. Selection was based on N50 statistics, number of contigs and the length of the largest contig. Assembly statistics of all assemblies are provided in supporting Additional file 1: Table S1. Scaffolding of the selected assembly was performed using SSPACE [20] and possible removal of gaps present in scaffolds was done using Gapfiller [21] and. Homopolymer errors were corrected manually using Consed [22].
Genome annotation
The structural and functional annotation was accomplished via the Magnifying Genome (MaGe) Annotation Platform [23]. Prediction of tRNA and rRNA genes was performed using tRNAscan-SE version 1.23 [24] and RNAmmer version 1.2 [25], respectively. Putative functions of the encoding genes were assigned automatically by MAGE′s inbuilt BlastP searches against the UniProt and Trembl, TIGR-Fam, Pfam, PRIAM, COG and InterPro databases. Putative phage prediction was performed using PHAST (PHAge Search Tool) webserver [26]. Proteins with signal peptides were predicted using SignalP v 4.1 [27] and TMHMM Server, v.2.0 [28] was used to predict transmembrane helices in the protein sequences.
Genome properties
The draft genome assembly comprised 60 contigs in 51 scaffolds with a total size of 3,129,551 bp (Fig. 3) that corresponds well to the size of two previously sequenced ‘T. phagedenis’ strains, 4A isolated from bovine digital dermatitis and F0421 isolated from human urogenitalia, with the assembly sizes of 3,027,773 and 2,830,421 respectively. The G + C content of the assembly was 39.9 %. In total 3,222 genes were predicted, of which 3,157 were protein coding genes. Table 3 contains the general genomic features. The classification of the protein coding genes in different COG categories is shown in Table 4.
Fig. 3.

Circular representation of genome; Circular map (from the outside to the center): (1) GC percent deviation (GC window - mean GC) in a 1000-bp window. (2) Predicted CDSs transcribed in the clockwise direction. (3) Predicted CDSs transcribed in the counterclockwise direction. (4) GC skew (G + C/G-C) in a 1000-bp window. (5) rRNA (blue), tRNA (green), miscRNA (orange), Transposable elements (pink) and pseudogenes (grey)
Table 3.
Genome statistics
| Attribute | Value | % of Total |
|---|---|---|
| Genome size (bp) | 3,129,551 | 100.0 |
| DNA coding (bp) | 2,623,392 | 83.8 |
| DNA G + C (bp) | 1,249,392 | 39.9 |
| DNA scaffolds | 51 | 100.0 |
| Total genes | 3,222 | 100.0 |
| Protein coding genes | 3,157 | 98 |
| RNA genes | 51 | 1.6 |
| Pseudo genes | 9 | 0.3 |
| Genes in internal clusters | ||
| Genes with function prediction | 1,547 | 48 |
| Genes assigned to COGs | 2,051 | 63.7 |
| Genes with Pfam domains | 1,788 | 55.5 |
| Genes with signal peptides | 187 | 5.8 |
| Genes with transmembrane helices | 791 | 24.5 |
| CRISPR repeats |
Table 4.
Number of genes associated with general COG functional categories
| Code | Value | %age | Description |
|---|---|---|---|
| J | 152 | 4.8 | Translation, ribosomal structure and biogenesis |
| A | 0 | 0.0 | RNA processing and modification |
| K | 132 | 4.2 | Transcription |
| L | 263 | 8.3 | Replication, recombination and repair |
| B | 0 | 0.0 | Chromatin structure and dynamics |
| D | 33 | 1.0 | Cell cycle control, Cell division, chromosome partitioning |
| V | 74 | 2.3 | Defense mechanisms |
| T | 139 | 4.4 | Signal transduction mechanisms |
| M | 123 | 3.9 | Cell wall/membrane biogenesis |
| N | 102 | 3.2 | Cell motility |
| U | 41 | 1.3 | Intracellular trafficking and secretion |
| O | 85 | 2.3 | Posttranslational modification, protein turnover, chaperones |
| C | 114 | 3.6 | Energy production and conversion |
| G | 223 | 7.0 | Carbohydrate transport and metabolism |
| E | 156 | 4.9 | Amino acid transport and metabolism |
| F | 57 | 1.8 | Nucleotide transport and metabolism |
| H | 57 | 1.8 | Coenzyme transport and metabolism |
| I | 41 | 1.3 | Lipid transport and metabolism |
| P | 119 | 3.7 | Inorganic ion transport and metabolism |
| Q | 15 | 0.5 | Secondary metabolites biosynthesis, transport and catabolism |
| R | 313 | 9.8 | General function prediction only |
| S | 170 | 5.4 | Function unknown |
| - | 1115 | 35.2 | Not in COGs |
The total is based on the total number of protein coding genes in the genome
Insights from the genome sequence
Potential pathogenicity related factors
Putative pathogenicity related proteins that are present in the genomes of T. pallidum [29] and T. denticola [30] were predicted in ‘T. phagedenis’ strain V1. Protein sequences from T. pallidum strain Nichols (accession number NC_000919) and T. denticola strain ATCC 35405 (accession number NC_002967) were used to perform blast searches against the predicted proteins of 'T. phagedenis' V1. These contained genes that encode for putative adhesins, antigens and a major sheath protein (Additional file 2: Table S2). Also, 22 CDS encoding chemotaxis and motility proteins, 17 CDS encoding transposases, 2 CDS encoding hemolysins and 3 putative prophages were predicted in the 'T. phagedenis' genome annotation.
Lipoproteins are considered to be of special attention in spirochetes because of their abundance in different spirochetal genera including Treponema [31]. Several of them localize to the bacterial surface and are considered as important vaccine targets. Lipoprotein prediction was thus performed separately using the SpLip server [32] that predicted 155 probable lipoproteins. The predicted lipoproteins were then Blasted against the proteins in all bacteria. Two lipoproteins with homology to known virulence related or antigenic proteins in other treponemes were expressed in Escherichia coli and are being used in ongoing studies.
Conclusions
The genome sequence of ‘T. phagedenis’ strain V1 provides useful information on potential virulence related and antigenic proteins, which may help to establish the role of treponemes in digital dermatits in cattle. They may also be used in development of diagnostic tools and prevention strategies for the disease. Comparative studies with genome sequences of treponemes in general and ‘T. phagedenis’ isolates from digital dermatitis lesions in particular, can be performed. The V1 genome sequence may also prove useful for classification purposes.
Acknowledgements
The PhD program of the Higher Education Commission of Pakistan supported MM. The authors would further like to acknowledge support of Uppsala Genome Center, UPPMAX and KTH Genome Center at the Royal Institute of Technology, and BILS for providing assistance in massive parallel sequencing and computational infrastructure. The contribution of MM and EB-R was supported by COST action SeqAhead, www.seqahead.eu. This work was also supported by the ALLBIO, EU FP7, grant number 289452, www.allbioinformatics.eu. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Additional files
Assembly statistics for different libraries. (DOC 27 kb)
Putative pathogenicity related proteins in T. denticola strain ATCC 35405 and T. pallidum subsp. pallidum strain Nichols with homologues in ‘T. phagedenis’ V1. (DOC 33 kb)
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MM participated in the design of the study, analysed the data and wrote the manuscript. SM participated in the data analysis. MP conceived the study, participated in design and writing. AR isolated the DNA and participated in writing. EB-R participated in planning, design and writing. All authors read and approved the final manuscript.
References
- 1.Bruijnis MR, Hogeveen H, Stassen EN. Assessing economic consequences of foot disorders in dairy cattle using a dynamic stochastic simulation model. J Dairy Sci. 2010;93:2419–2432. doi: 10.3168/jds.2009-2721. [DOI] [PubMed] [Google Scholar]
- 2.Rasmussen M, Capion N, Klitgaard K, Rogdo T, Fjeldaas T, Boye M, et al. Bovine digital dermatitis: possible pathogenic consortium consisting of Dichelobacter nodosus and multiple Treponema species. Vet Microbiol. 2012;160(1–2):151–61. doi: 10.1016/j.vetmic.2012.05.018. [DOI] [PubMed] [Google Scholar]
- 3.Klitgaard K, Nielsen MW, Ingerslev HC, Boye M, Jensen TK. Discovery of bovine digital dermatitis- associated Treponema spp. in the dairy herd environment by a targeted deep- sequencing approach. Appl Environ Microbiol. 2014;80(14):4427–32. doi: 10.1128/AEM.00873-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Klitgaard K, Breto AF, Boye M, Jensen TK. Targeting the treponemal microbiome of digital dermatitis infections by high-resolution phylogenetic analyses and comparison with fluorescent in situ hybridization. J Clin Microbiol. 2013;51(7):2212–2219. doi: 10.1128/JCM.00320-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wilson-Welder JH, Elliott MK, Zuerner RL, Bayles DO, Alt DP, Stanton TP. Biochemical and molecular characterization of Treponema phagedenis-like spirochetes isolated from a bovine digital dermatitis lesion. BMC Microbiol. 2013;13:280. doi: 10.1186/1471-2180-13-280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Choi BK, Nattermann H, Grund S, Haider W, Göbel UB. Spirochetes from digital dermatitis lesions in cattle are closely related to treponemes associated with human periodontitis. Int J Syst Bacteriol. 1997;47:175–181. doi: 10.1099/00207713-47-1-175. [DOI] [PubMed] [Google Scholar]
- 7.Evans NJ, Brown JM, Demirkan I, Singh P, Getty B, Timofte D, et al. Association of unique, isolated treponemes with bovine digital dermatitis lesions. J Clin Microbiol. 2009;47:689–696. doi: 10.1128/JCM.01914-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Nordhoff M, Moter A, Schrank K, Wieler LH. High prevalence of treponemes in bovine digital dermatitis: a molecular epidemiology. Vet Microbiol. 2008;131:293–300. doi: 10.1016/j.vetmic.2008.04.019. [DOI] [PubMed] [Google Scholar]
- 9.Yano T, Moe KK, Yamazaki K, Ooka T, Hayashi T, Misawa N. Identification of candidate pathogens of papillomatous digital dermatitis in dairy cattle from quantitative 16S rRNA clonal analysis. Vet Microbiol. 2010;143:352–362. doi: 10.1016/j.vetmic.2009.12.009. [DOI] [PubMed] [Google Scholar]
- 10.Moter A, Leist G, Rudolph R, Schrank K, Choi BK, Wagner M, et al. Fluorescence in situ hybridization shows spatial distribution of as yet uncultured treponemes in biopsies from digital dermatitis lesions. Microbiology. 1998;144(Pt 9):2459–2467. doi: 10.1099/00221287-144-9-2459. [DOI] [PubMed] [Google Scholar]
- 11.Evans NJ, Brown JM, Demirkan I, Murray RD, Vink WD, Blowey RW, et al. Three unique groups of spirochetes isolated from digital dermatitis lesions in UK cattle. Vet Microbiol. 2008;130(1–2):141–50. doi: 10.1016/j.vetmic.2007.12.019. [DOI] [PubMed] [Google Scholar]
- 12.Trott DJ, Moeller MR, Zuerner RL, Goff JP, Waters WR, Alt DP, et al. Characterization of Treponema phagedenis-like spirochetes isolated from papillomatous digital dermatitis lesions in dairy cattle. J Clin Microbiol. 2003;41(6):2522–2529. doi: 10.1128/JCM.41.6.2522-2529.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yano T, Yamagami R, Misumi K, Kubota C, Moe KK, Hayashi T, et al. Genetic heterogeneity among strains of Treponema phagedenis-like spirochetes isolated from dairy cattle with papillomatous digital dermatitis in Japan. J Clin Microbiol. 2009;47:727–733. doi: 10.1128/JCM.01574-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Pringle M, Bergsten C, Fernström LL, Höök H, Johansson KE. Isolation and characterization of Treponema phagedenis-like spirochetes from digital dermatitis lesions in Swedish dairy cattle. Acta Vet Scand. 2008;50:40. doi: 10.1186/1751-0147-50-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Charon NW, Goldstein SF, Curci K, Limberger RJ. The Bent-End Morphology of Treponema phagedenis is Associated with Short, Left-Handed, Periplasmic Flagella. J Bacteriol. 1991;173(15):4820. doi: 10.1128/jb.173.15.4820-4826.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rosander A, Guss B, Frykberg L, Björkman C, Näslund K, Pringle M. Identification of immunogenic proteins in Treponema phagedenis-like strain V1 from digital dermatitis lesions by phage display. Vet Microbiol. 2011;153(3–4):315–22. doi: 10.1016/j.vetmic.2011.06.005. [DOI] [PubMed] [Google Scholar]
- 18.Liolios K, Mavromatis K, Tavernarakis N, Kyrpides NC. The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res. 2008;36:D475–D479. doi: 10.1093/nar/gkm884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Darling AE, Mau B, Perna NT, ProgressiveMauve Multiple genome alignment with gene gain, loss and rearrangement. PLoS One. 2010;5 doi: 10.1371/journal.pone.0011147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Boetzer M, Henkel CV, Jansen HJ, Butler D, Pirovano W. Scaffolding pre-assembled contigs using SSPACE. Bioinformatics. 2011;27(4):578–579. doi: 10.1093/bioinformatics/btq683. [DOI] [PubMed] [Google Scholar]
- 21.Boetzer M, Pirovano W. Toward almost closed genomes with GapFiller. Genome Biol. 2012;13:56–64. doi: 10.1186/gb-2012-13-6-r56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gordon D. Viewing and editing assembled sequences using Consed. Curr Protoc Bioinformatics. 2003;11:11–12. doi: 10.1002/0471250953.bi1102s02. [DOI] [PubMed] [Google Scholar]
- 23.Vallenet D, Engelen S, Mornico D, Cruveiller S, Fleury L, Lajus A, et al. MicroScope: a platform for microbial genome annotation and comparative genomics. Database (Oxford) 2009;2009:bap021. doi: 10.1093/database/bap021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997;25:955–964. doi: 10.1093/nar/25.5.0955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35:3100–3108. doi: 10.1093/nar/gkm160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zhou Y, Liang Y, Lynch K, Dennis JJ, Wishart DS. PHAST: a fast phage search tool”. Nucl Acids Res. 2011;39(suppl 2):W347–W352. doi: 10.1093/nar/gkr485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods. 2011;8:785–786. doi: 10.1038/nmeth.1701. [DOI] [PubMed] [Google Scholar]
- 28.Krogh A, Larsson B, von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: Application to Complete Genomes. J Mol Biol. 2001;305:567–580. doi: 10.1006/jmbi.2000.4315. [DOI] [PubMed] [Google Scholar]
- 29.Fraser CM, Norris SJ, Weinstock GM, White O, Sutton GG, Dodson R, et al. Complete genome sequence of Treponema pallidum, the syphilis spirochete. Science. 1998;281(5375):375–388. doi: 10.1126/science.281.5375.375. [DOI] [PubMed] [Google Scholar]
- 30.Seshadri R, Myers GS, Tettelin H, Eisen JA, Heidelberg JF, Dodson RJ, et al. Comparison of the genome of the oral pathogen Treponema denticola with other spirochete genomes. Proc Natl Acad Sci U S A. 2004;101(15):5646–51. doi: 10.1073/pnas.0307639101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Haake DA. Spirochaetal lipoproteins and pathogenesis. Microbiology. 2000;146:1491–1504. doi: 10.1099/00221287-146-7-1491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Setubal JC, Reis M, Matsunaga J, Haake DA. Lipoprotein computational prediction in spirochaetal genomes. Microbiology. 2006;152:113–121. doi: 10.1099/mic.0.28317-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Field D, Garrity G, Gray T. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008;26:541–547. doi: 10.1038/nbt1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya. Proc Natl Acad Sci U S A. 1990;87:4576–4579. doi: 10.1073/pnas.87.12.4576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Garrity GM, Lilburn TG, Cole JR, Harrison SH, Euzeby J, Tindall BJ. Introduction to the taxonomic outline of bacteria and archaea (TOBA) Release 7.7. Taxon Outl Bact Archaea. 2007;7:1–5. [Google Scholar]
- 36.Ludwig W, Euzeby J, Whitman WG. Draft taxonomic outline of the Bacteroidetes, Planctomycetes, Chlamydiae, Spirochaetes, Fibrobacteres, Fusobacteria, Acidobacteria, Verrucomicrobia, Dictyoglomi, and Gemmatimonadetes. http://www.bergeys.org/outlines/Bergeys_Vol_4_Outline.pdf. Taxonomic Outline 2008.
- 37.Paster BJ, Dewhirst FE, Weisburg WG, Tordoff LA, Fraser GJ, Hespell RB, et al. Phylogenetic analysis of the spirochetes. J Bacteriol. 1991;173:6101–6109. doi: 10.1128/jb.173.19.6101-6109.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Buchanan RE. Studies in the nomenclature and classification of the bacteria. J Bacteriol. 1918;3:541–545. doi: 10.1128/jb.3.6.541-545.1918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Paster BJ, Dewhirst FE. Phylogenetic foundation of spirochetes. J Mol Microbiol Biotechnol. 2000;2:341–344. [PubMed] [Google Scholar]
- 40.Abt B, Han C, Lu M, Lapidus A, Nolan M, Lucas S, et al. Complete genome sequence of the termite hindgut bacterium Spirochaeta coccoides type strain (SPN1T), reclassification in the genus Sphaerochaeta as Sphaerochaeta coccoides comb. nov. and emendations of the family Spirochaetaceae and the genus Sphaerochaeta. Stand Genomic Sci. 2012;6:194–209. doi: 10.4056/sigs.2796069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Norris SJ, Paster BJ, Smibert RM. Genus IV. Treponema. In: Krieg NR, Staley JT, Brown DR, Hedlund BP, Paster BJ, Ward NL, Ludwig W, Whitman WB, editors. Bergey's Manual of Systematic Bacteriology. Volume 4. 2. New York: Springer; 2011. pp. 501–531. [Google Scholar]
- 42.Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007;23:2947–2948. doi: 10.1093/bioinformatics/btm404. [DOI] [PubMed] [Google Scholar]
- 43.Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000;17:540–552. doi: 10.1093/oxfordjournals.molbev.a026334. [DOI] [PubMed] [Google Scholar]
- 44.Tamura K, Stecher G, Peterson D, Filipski A, Kumar S, MEGA6 Molecular evolutionary genetics analysis version 6.0. Mol Biol and Evol. 2013;30:2725–2729. doi: 10.1093/molbev/mst197. [DOI] [PMC free article] [PubMed] [Google Scholar]
